JOURNAL ARTICLE

Building extraction from high resolution SAR imagery in urban areas

Yansheng DongHongping ChenDeyong YuYanzhong PanJingshui Zhang

Year: 2011 Journal:   Geo-spatial Information Science Vol: 14 (3)Pages: 164-168   Publisher: Taylor & Francis

Abstract

In this paper, the textural characteristics of the buildings were quantified by using two texture descriptors, namely, Square Root Pair Difference (SRPD) and Gi*. Then, a novel method, based on SRPD and Gi*, to extract building areas in urban areas from very high resolution SAR images is presented. The results showed that this method has the ability to differentiate buildings from the complicated features in urban areas, which can be employed for land mapping and provides support for relief operations.

Keywords:
Extraction (chemistry) Remote sensing High resolution Texture (cosmology) Computer science Geography Artificial intelligence Computer vision Image (mathematics)

Metrics

6
Cited By
0.50
FWCI (Field Weighted Citation Impact)
13
Refs
0.68
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Automated Road and Building Extraction
Physical Sciences →  Engineering →  Ocean Engineering
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